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<table width="100%" summary="page for dengue"><tr><td>dengue</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Dengue prevalence, by administrative region</h2>

<h3>Description</h3>

<p>Data record, for each of 2000 administrative regions,
whether or not dengue was recorded at any time between 1961 and 1990.
</p>


<h3>Usage</h3>

<pre>data(dengue)</pre>


<h3>Format</h3>

<p>A data frame with 2000 observations on the following 13 variables.
</p>

<dl>
<dt>humid</dt><dd><p>Average vapour density: 1961-1990</p>
</dd>
<dt>humid90</dt><dd><p>90th percentile of <code>humid</code></p>
</dd>
<dt>temp</dt><dd><p>Average temperature: 1961-1990</p>
</dd>
<dt>temp90</dt><dd><p>90th percentile of <code>temp</code></p>
</dd>
<dt>h10pix</dt><dd><p>maximum of <code>humid</code>, within a 10 pixel radius</p>
</dd>
<dt>h10pix90</dt><dd><p>maximum of <code>humid90</code>, within a 10 pixel radius</p>
</dd>
<dt>trees</dt><dd><p>Percent tree cover, from satellite data</p>
</dd>
<dt>trees90</dt><dd><p>90th percentile of <code>trees</code></p>
</dd>
<dt>NoYes</dt><dd><p>Was dengue observed? (1=yes)</p>
</dd>
<dt>Xmin</dt><dd><p>minimum longitude</p>
</dd>
<dt>Xmax</dt><dd><p>maximum longitude</p>
</dd>
<dt>Ymin</dt><dd><p>minimum latitude</p>
</dd>
<dt>Ymax</dt><dd><p>maximum latitude</p>
</dd>
</dl>



<h3>Details</h3>

<p>This is derived from a data set in which the climate and tree cover
information were given for each half degree of latitude by half
degreee of longitude pixel.
The variable <code>NoYes</code> was given by administrative region.
The climate data and tree cover data given here are 50th or 90th
percentiles, where percetiles were calculates across pixels for an
administrative region.
</p>


<h3>Source</h3>

<p>Simon Hales, Environmental Research New Zealand Ltd.
</p>


<h3>References</h3>

<p>Hales, S., de Wet, N., Maindonald, J. and Woodward, A.
2002.  Potential effect of population and climate change global
distribution of dengue fever: an empirical model.  The Lancet 2002;
360: 830-34. 
</p>


<h3>Examples</h3>

<pre>
str(dengue)
glm(NoYes ~ humid, data=dengue, family=binomial)
glm(NoYes ~ humid90, data=dengue, family=binomial)
</pre>


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